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Rehabilitation Dataset Directory: Dataset Profile
Dataset: Medicare Cost Report Files ()
Basic Information | |
---|---|
Dataset Full Name | Medicare Cost Report Files |
Dataset Acronym | |
Summary | Medicare-certified institutional providers are required to submit an annual cost report to a Medicare Administrative Contractor (MAC). The cost report contains provider information such as facility characteristics, utilization data, cost and charges by cost center (in total and for Medicare), Medicare settlement data, and financial statement data. The Medicare Cost Report Files are used in order to compute the cost-to-charge ratio and determine the ‘cost’ of providing services by different institutions. CMS maintains the cost report data in the Healthcare Provider Cost Reporting Information System (HCRIS). HCRIS includes cost report data subsystems for the following institution provider types:
The data consists of every data element included in the HCRIS extract created for CMS by the provider's Administrative Contractor. |
Key Terms | Cost, Cost-to-Charge Ratio, Cost Effectiveness Analysis |
Study Design | Longitudinal |
Data Type(s) |
Administrative |
Sponsoring Agency/Entity | Department of Health and Human Services (HHS): Centers for Medicare and Medicaid Services (CMS) |
Health Conditions/Disability Measures |
Health Condition(s) | NA |
Disability Measures | NA | Measures/Outcomes of Interest |
Topics | Medicare costs, Hospitals, Health Clinics, Skilled nursing facilities, Hospices, Renal dialysis facilities, Home health agencies | Sample |
Sample Population | Medicare-certified institutional providers including: Hospitals, Health Clinics, Skilled nursing facilities, Hospices, Renal dialysis facilities, Home health agencies, Federally Qualified Health Clinics (FQHC), Rural Health Centers (RHC), Community Mental Health Centers |
Sample Size/Notes | Varies by facility type and year |
Unit of Observation | Hospital & Provider |
Continent(s) | North America |
Countries | United States |
Geographic Coverage | National |
Geographic Specificity | Provider Code |
Special Population(s) | Medicare/Medicaid |
Data Collection |
Data Collection Mode | Administrative |
Years Collected |
|
Data Collection Frequency | Updated quarterly | Strengths and Limitations |
Strengths | Useful for using 'cost' as an outcome of interest. |
Limitations | Limited utility as a stand-alone data set. | Data Details |
Primary Website |
https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/Cost-Reports/ |
Data Access |
Access by fiscal year: |
Data Access Requirements | Public Use Dataset |
Summary Tables/Reports | Reports on each data set are available on each individual cost report's web page. |
Data Components | The cost report data is in 3 files (4 for Hospital, SNF and HHA) that are comma delimited.
*=subsystem |
Selected Papers |
Other Papers | |
Technical |
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The Rehabilitation Research Cross-dataset Variable Catalog has been developed through the Center for Large Data Research & Data Sharing in Rehabilitation (CLDR). The Center for Large Data Research and Data Sharing in Rehabilitation involves a consortium of investigators from the University of Texas Medical Branch, Cornell University's Yang Tan Institute (YTI), and the University of Michigan. The CLDR is funded by NIH - National Institute of Child Health and Human Development, through the National Center for Medical Rehabilitation Research, the National Institute for Neurological Disorders and Stroke, and the National Institute of Biomedical Imaging and Bioengineering. (P2CHD065702).
Other CLDR supported resources and collaborative opportunities:
- Archive of Data on Disability to Enable Policy and research (ADDEP)
- Data Sharing & Archiving at CLDR
- Pilot Project Program
- Visiting Scholars Program
Acknowledgements: This tool was developed through the efforts of William Erickson and Arun Karpur, and web designers Jason Criss and Jeff Trondsen at Cornell University. Many thanks to graduate students Kyoung Jo Oh and Yeong Joon Yoon who developed much of the content used in this tool.
For questions or comments please contact disabilitystatistics@cornell.edu